Utvidet returrett til 31. januar 2025

Mindful AI

- Reflections on Artificial Intelligence

Om Mindful AI

The right book for the right time! "We are in the midst of a transition period. The more advanced Artificial Intelligence becomes, the more uncertainty spreads. We must reposition ourselves and change our mindset if we don't want to perish." (MINDFUL AI) Mindful AI refers to designing and building artificial intelligence (AI) systems with awareness and consideration of their ethical, moral, and societal implications. Mindful AI involves taking a holistic approach to AI that incorporates considerations of fairness, transparency, accountability, and respect for human rights. This can include examining AI systems' potential biases and unintended consequences and ensuring that they are designed and used responsibly and ethically. By approaching AI with mindfulness, developers and organizations can help build trust in the technology while ensuring that it is used in ways aligned with society's values and interests. About the Author: Murat Durmus is CEO and founder of AISOMA (a Frankfurt am Main (Germany) based company specializing in AI-based technology development and consulting) and Author of the book "Mindful A- Reflections on Artificial IntelligenceI" and "INSIDE ALAN TURING." *** The field of AI is highly interdisciplinary & evolutionary. The more AI penetrates our life and environment, the more comprehensive the points we have to consider and adapt. Technological developments are far ahead of ethical & philosophical interpretations; this fact is disturbing. We need to close this gap as soon as possible. *** Content PREFACE - x THOUGHT & QUOTES - 1 ARTIFICIAL INTELLIGENCE - 1AI ETHICS - 17EXPLAINABLE AI (XAI) - 37PHILOSOPHY - 43DATA & BUSINESS - 47EDUCATION & FUTURE OF WORK - 53SOCIETY & HUMANITY - 61MIX - 67A BRIEF HISTORY OF ARTIFICIAL INTELLIGENCE - 73 THREE ESSAYS FOR THE FUNDAMENTAL UNDERSTANDING OF AI - 83 Artificial Intelligence: An attempt to define and distinguish - 835 Variations of Artificial Intelligence - 88Duplication versus Simulation - 95ARTICLES - 101 Why we need to Regulate the use of AI Technologies - 101Do Companies need a Chief AI-Ethics Officer? - 104Employment and Skills in the Age of AI - 109The Criminal Potential of Artificial Intelligence - 114How does machine learning work? - 131Can AI have a consciousness? - 133What is Singularity? - 1355 Algorithms that Changed the World - 137EPILOG - 141 SOME SIGNIFICANT ACHIEVEMENTS IN THE FIELD OF AI SINCE 2010. - 147 APPENDIX: GLOSSARY - 177 Artificial intelligence - 177Artificial General Intelligence (Strong AI) - 178Weak artificial intelligence (weak AI) - 178The ethics of artificial intelligence - 179The European ethics guidelines for trustworthy AI - 179Algorithmic bias - 182Machine Learning - 183Deep Learning - 184Supervised learning - 184Unsupervised learning - 185Semi-supervised learning - 185Reinforcement learning- 186Superintelligence - 186Technological Singularity - 187The Philosophy of Artificial Intelligence - 187AI Control Problem - 189The Turing Test - 190

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  • Språk:
  • Engelsk
  • ISBN:
  • 9798360396796
  • Bindende:
  • Paperback
  • Sider:
  • 202
  • Utgitt:
  • 26. oktober 2022
  • Dimensjoner:
  • 140x216x11 mm.
  • Vekt:
  • 240 g.
  • BLACK NOVEMBER
Leveringstid: 2-4 uker
Forventet levering: 19. desember 2024

Beskrivelse av Mindful AI

The right book for the right time! "We are in the midst of a transition period. The more advanced Artificial Intelligence becomes, the more uncertainty spreads. We must reposition ourselves and change our mindset if we don't want to perish." (MINDFUL AI) Mindful AI refers to designing and building artificial intelligence (AI) systems with awareness and consideration of their ethical, moral, and societal implications. Mindful AI involves taking a holistic approach to AI that incorporates considerations of fairness, transparency, accountability, and respect for human rights. This can include examining AI systems' potential biases and unintended consequences and ensuring that they are designed and used responsibly and ethically. By approaching AI with mindfulness, developers and organizations can help build trust in the technology while ensuring that it is used in ways aligned with society's values and interests. About the Author:
Murat Durmus is CEO and founder of AISOMA (a Frankfurt am Main (Germany) based company specializing in AI-based technology development and consulting) and Author of the book "Mindful A- Reflections on Artificial IntelligenceI" and "INSIDE ALAN TURING." *** The field of AI is highly interdisciplinary & evolutionary. The more AI penetrates our life and environment, the more comprehensive the points we have to consider and adapt. Technological developments are far ahead of ethical & philosophical interpretations; this fact is disturbing.
We need to close this gap as soon as possible. *** Content PREFACE - x THOUGHT & QUOTES - 1
ARTIFICIAL INTELLIGENCE - 1AI ETHICS - 17EXPLAINABLE AI (XAI) - 37PHILOSOPHY - 43DATA & BUSINESS - 47EDUCATION & FUTURE OF WORK - 53SOCIETY & HUMANITY - 61MIX - 67A BRIEF HISTORY OF ARTIFICIAL INTELLIGENCE - 73
THREE ESSAYS FOR THE FUNDAMENTAL UNDERSTANDING OF AI - 83
Artificial Intelligence: An attempt to define and distinguish - 835 Variations of Artificial Intelligence - 88Duplication versus Simulation - 95ARTICLES - 101
Why we need to Regulate the use of AI Technologies - 101Do Companies need a Chief AI-Ethics Officer? - 104Employment and Skills in the Age of AI - 109The Criminal Potential of Artificial Intelligence - 114How does machine learning work? - 131Can AI have a consciousness? - 133What is Singularity? - 1355 Algorithms that Changed the World - 137EPILOG - 141 SOME SIGNIFICANT ACHIEVEMENTS IN THE FIELD OF AI SINCE 2010. - 147
APPENDIX: GLOSSARY - 177
Artificial intelligence - 177Artificial General Intelligence (Strong AI) - 178Weak artificial intelligence (weak AI) - 178The ethics of artificial intelligence - 179The European ethics guidelines for trustworthy AI - 179Algorithmic bias - 182Machine Learning - 183Deep Learning - 184Supervised learning - 184Unsupervised learning - 185Semi-supervised learning - 185Reinforcement learning- 186Superintelligence - 186Technological Singularity - 187The Philosophy of Artificial Intelligence - 187AI Control Problem - 189The Turing Test - 190

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